The Princess Margaret Cancer Center sees over 1,000 patients per day and is among the largest cancer treatment facilities in the world. Its affiliated research institute is one of the top five cancer research centers in the world. Their researchers employ state-of-the-art tools in genomics, proteomics, structural biology, molecular biology, immunology, biophysics, bioinformatics and the behavioral sciences.

The Princess Margaret Cancer Center is part of the University Health Network (UHN) which also consists of Toronto General Hospital, Toronto Western Hospital and Toronto Rehabilitation Institute. UHN is a recognized leader in patient care, research and education.

Igor Jurisica, Ph.D.
Principal Investigator

Dr. Jurisica's research focuses on integrative computational biology and the representation, analysis and visualization of high-dimensional data to identify prognostic/predictive signatures, drug mechanism of action and in silico re-positioning of drugs. Interests include comparative analysis for mining different integrated data sets (e.g., protein-protein interactions, high-dimensional cancer data, and high-throughput screens for protein crystallization). For more information on Dr. Jurisica's lab: http://www.cs.toronto.edu/~juris

Christian Cumbaa, M. Math
Research Associate

Christian holds an M. Math in Computer Science from the University of Waterloo. He applies machine learning to Big Data problems in and around bioinformatics. His research interests include distributed machine learning algorithms and computer vision.

Mike Tsay, M. Sc.
Research Associate

Mike's interests include DNA and RNA thermodynamics as well as the overlap between computer science and biology. His research focuses on gene signatures, HPC, the SCRIPDB portal and miRNA detection.

Max Kotylar, Ph. D.
Research Associate

Max holds a PhD in Medical Biophysics from the University of Toronto. His research has focused on systems biology projects including protein-protein interaction prediction, network approaches to phenotype prediction, and network model to characterize drug mechanism of action. His areas of expertise include bioinformatics, systems biology, and machine learning.